Leming Shi

Publication List Details

Period

2000 - 2009

Number

57

Co-Authors

Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles (2009)

Li, Zhiguang, Su, Zhenqiang, Wen, Zhining, Shi, Leming, Chen, Tao

Abstract Background Several different microarray platforms are available for measuring gene expression. There are disagreements within the microarray scientific community for intra- and...

BioMed Central (2009)

Bmc Bioinformatics, Zhenqiang Su, Huixiao Hong, Hong Fang, Leming Shi, Roger Perkins, ...

Proceedings Very Important Pool (VIP) genes – an application for microarray-based molecular signatures

BioMed Central (2009)

Bmc Bioinformatics, Hapmap Samples, Huixiao Hong, Zhenqiang Su, Weigong Ge, Leming Shi, ...

Proceedings Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270

Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation (2009)

Fan, Xiaohui, Shi, Leming, Fang, Hong, Harris, Stephen, Perkins, Roger, Tong, Weida

Abstract Recent publications have raised concerns about the reliability of microarray technology because of the lack of reproducibility of differentially expressed genes (DEGs) from highly similar...

Toxicogenomics | Article Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence (2008)

Weida Tong, Qian Xie, Huixiao Hong, Hong Fang, Leming Shi, Roger Perkins, ...

Class prediction using “omics ” data is playing an increasing role in toxicogenomics, diagnosis/prognosis, and risk assessment. These data are usually noisy and represented by relatively few...

Very Important Pool (VIP) genes – an application for microarray-based molecular signatures (2008)

Su, Zhenqiang, Hong, Huixiao, Fang, Hong, Shi, Leming, Perkins, Roger, Tong, Weida

Abstract Background Advances in DNA microarray technology portend that molecular signatures from which microarray will eventually be used in clinical environments and personalized medicine....

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples (2008)

Hong, Huixiao, Su, Zhenqiang, Ge, Weigong, Shi, Leming, Perkins, Roger, Fang, Hong, ...

Abstract Background Genome-wide association studies (GWAS) aim to identify genetic variants (usually single nucleotide polymorphisms [SNPs]) across the entire human genome that are associated with...

The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies (2008)

Shi, Leming, Jones, Wendell D, Jensen, Roderick V, Harris, Stephen C, Perkins, Roger G, Goodsaid, Federico M, ...

Abstract Background Reproducibility is a fundamental requirement in scientific experiments. Some recent publications have claimed that microarrays are unreliable because lists of differentially...

cytotoxicity for identification of biomarkers (2008)

Yongxi Tan, Leming Shi, Saber M. Hussain, Jun Xu, Weida Tong, John M, ...

Integrating time-course microarray gene expression profiles with

BioMed Central Proceedings Improvement in the Reproducibility and Accuracy of DNA Microarray Quantification by Optimizing Hybridization Conditions (2008)

Bmc Bioinformatics, Tao Han, Cathy D Melvin, Leming Shi, William S Branham, Carrie L Mol, ...

© 2006 Han et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License

The Reproducibility of Lists of Differentially Expressed Genes in Microarray Studies (2007)

Leming Shi, Wendell D. Jones, Roderick V. Jensen, Stephen C. Harris, Roger G. Perkins, Federico M. Goodsaid, ...

Reproducibility is a fundamental requirement in scientific experiments and clinical contexts. Recent publications raise concerns about the reliability of microarray technology because of the apparent...

Variability of DNA Microarray Gene Expression Profiles in Cultured Rat Primary Hepatocytes (2007)

Jun Xu, Xutao Deng, Victor Chan, Nancy Kelley-Loughnane, Brent W Harker, Leming Shi, ...

DNA microarray is a powerful tool in biomedical research. However, transcriptomic profiling using DNA microarray is subject to many variations including biological variability. To evaluate the...

Analysis of gene expression changes in relation to toxicity and tumorigenesis in the livers of Big Blue transgenic rats fed comfrey (Symphytum officinale) (2006)

Mei, Nan, Guo, Lei, Zhang, Lu, Shi, Leming, Sun, Yongming, Fung, Chris, ...

Abstract Background Comfrey is consumed by humans as a vegetable and a tea, and has been used as an herbal medicine for more than 2000 years. Comfrey, however, is hepatotoxic in livestock and humans...

Improvement in the Reproducibility and Accuracy of DNA Microarray Quantification by Optimizing Hybridization Conditions (2006)

Han, Tao, Melvin, Cathy D, Shi, Leming, Branham, William S, Moland, Carrie L, Pine, P Scott, ...

Abstract Background DNA microarrays, which have been increasingly used to monitor mRNA transcripts at a global level, can provide detailed insight into cellular processes involved in response to...

Differential gene expression in mouse primary hepatocytes exposed to the peroxisome proliferator-activated receptor α agonists (2006)

Guo, Lei, Fang, Hong, Collins, Jim, Fan, Xiao-hui, Dial, Stacey, Wong, Alex, ...

Abstract Background Fibrates are a unique hypolipidemic drugs that lower plasma triglyceride and cholesterol levels through their action as peroxisome proliferator-activated receptor alpha (PPARα)...

Gene Expression Profiles Distinguish the Carcinogenic Effects of Aristolochic Acid in Target (Kidney) and Non-target (Liver) Tissues in Rats (2006)

Chen, Tao, Guo, Lei, Zhang, Lu, Shi, Leming, Fang, Hong, Sun, Yongming, ...

Abstract Background Aristolochic acid (AA) is the active component of herbal drugs derived from Aristolochia species that have been used for medicinal purposes since antiquity. AA, however, induced...

Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium (2006)

Tan, Yongxi, Shi, Leming, Hussain, Saber M., Xu, Jun, Tong, Weida, Frazier, John M., ...

Motivation: DNA microarrays can provide information about the expression levels of thousands of genes simultaneously at the transcriptomic level, while conventional cell viability and cytotoxicity...

BioMed Central (2006)

Bmc Bioinformatics, Lei Guo, Hong Fang, Jim Collins, Xiao-hui Fan, Stacey Dial, ...

Proceedings Differential gene expression in mouse primary hepatocytes exposed to the peroxisome proliferator-activated receptor α agonists

Microarray scanner calibration curves: characteristics and implications (2005)

Shi, Leming, Tong, Weida, Su, Zhenqiang, Han, Tao, Han, Jing, Puri, Raj K, ...

Abstract Background Microarray-based measurement of mRNA abundance assumes a linear relationship between the fluorescence intensity and the dye concentration. In reality, however, the calibration...

Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential (2005)

Shi, Leming, Tong, Weida, Fang, Hong, Scherf, Uwe, Han, Jing, Puri, Raj K, ...

Abstract Background The acceptance of microarray technology in regulatory decision-making is being challenged by the existence of various platforms and data analysis methods. A recent report (E....

Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS) (2005)

Hong, Huixiao, Dragan, Yvonne, Epstein, Joshua, Teitel, Candee, Chen, Bangzheng, Xie, Qian, ...

Abstract Background Proteomic profiling of complex biological mixtures by the ProteinChip technology of surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS)...

A microarray study of MPP+-treated PC12 Cells: Mechanisms of toxicity (MOT) analysis using bioinformatics tools (2005)

Xu, Zengjun, Patterson, Tucker A, Wren, Jonathan D, Han, Tao, Shi, Leming, Duhart, Helen, ...

Abstract Background This paper describes a microarray study including data quality control, data analysis and the analysis of the mechanism of toxicity (MOT) induced by 1-methyl-4-phenylpyridinium...

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data (2005)

Tan, Yongxi, Shi, Leming, Tong, Weida, Wang, Charles

DNA microarray technology provides a promising approach to the diagnosis and prognosis of tumors on a genome-wide scale by monitoring the expression levels of thousands of genes simultaneously. One...

Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium# (2005)

Tan, Yongxi, Shi, Leming, Hussain, Saber M., Xu, Jun, Tong, Weida, Frazier, John M., ...

Motivation: DNA microarrays can provide information about the expression levels of thousands of genes simultaneously at the transcriptomic level, while conventional cell viability and cytotoxicity...

ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research. Environ Health Perspect 111 (2003)

Weida Tong, Xiaoxi Cao, Stephen Harris, Hongmei Sun, Hong Fang, James Fuscoe, ...

The mapping of the human genome and the determination of corresponding gene functions, pathways, and biological mechanisms are driving the emergence of the new research fields of toxicogenomics and...

The Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands (2000)

Blair, Robert M., Fang, Hong, Branham, William S., Hass, Bruce S., Dial, Stacey L., Moland, Carrie L., ...

We have utilized a validated (standardized) estrogen receptor (ER) competitive-binding assay to determine the ER affinity for a large, structurally diverse group of chemicals. Uteri from...

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data

Tan, Yongxi, Shi, Leming, Tong, Weida, Wang, Charles

DNA microarray technology provides a promising approach to the diagnosis and prognosis of tumors on a genome-wide scale by monitoring the expression levels of thousands of genes simultaneously. One...

Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts.

Hong, Huixiao, Tong, Weida, Fang, Hong, Shi, Leming, Xie, Qian, Wu, Jie, ...

A number of environmental chemicals, by mimicking natural hormones, can disrupt endocrine function in experimental animals, wildlife, and humans. These chemicals, called "endocrine-disrupting...

ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.

Tong, Weida, Cao, Xiaoxi, Harris, Stephen, Sun, Hongmei, Fang, Hong, Fuscoe, James, ...

The mapping of the human genome and the determination of corresponding gene functions, pathways, and biological mechanisms are driving the emergence of the new research fields of toxicogenomics and...

Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence

Tong, Weida, Xie, Qian, Hong, Huixiao, Fang, Hong, Shi, Leming, Perkins, Roger, ...

Class prediction using “omics” data is playing an increasing role in toxicogenomics, diagnosis/prognosis, and risk assessment. These data are usually noisy and represented by relatively few...

Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Tong, Weida, Xie, Qian, Hong, Huixiao, Shi, Leming, Fang, Hong, Perkins, Roger

Quantitative structure–activity relationship (QSAR) methods have been widely applied in drug discovery, lead optimization, toxicity prediction, and regulatory decisions. Despite major advances in...

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data

Tan, Yongxi, Shi, Leming, Tong, Weida, Wang, Charles

DNA microarray technology provides a promising approach to the diagnosis and prognosis of tumors on a genome-wide scale by monitoring the expression levels of thousands of genes simultaneously. One...

Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts.

Hong, Huixiao, Tong, Weida, Fang, Hong, Shi, Leming, Xie, Qian, Wu, Jie, ...

A number of environmental chemicals, by mimicking natural hormones, can disrupt endocrine function in experimental animals, wildlife, and humans. These chemicals, called "endocrine-disrupting...

ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.

Tong, Weida, Cao, Xiaoxi, Harris, Stephen, Sun, Hongmei, Fang, Hong, Fuscoe, James, ...

The mapping of the human genome and the determination of corresponding gene functions, pathways, and biological mechanisms are driving the emergence of the new research fields of toxicogenomics and...

Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence

Tong, Weida, Xie, Qian, Hong, Huixiao, Fang, Hong, Shi, Leming, Perkins, Roger, ...

Class prediction using “omics” data is playing an increasing role in toxicogenomics, diagnosis/prognosis, and risk assessment. These data are usually noisy and represented by relatively few...

Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Tong, Weida, Xie, Qian, Hong, Huixiao, Shi, Leming, Fang, Hong, Perkins, Roger

Quantitative structure–activity relationship (QSAR) methods have been widely applied in drug discovery, lead optimization, toxicity prediction, and regulatory decisions. Despite major advances in...

Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation

Fan, Xiaohui, Shi, Leming, Fang, Hong, Harris, Stephen, Perkins, Roger, Tong, Weida

Recent publications have raised concerns about the reliability of microarray technology because of the lack of reproducibility of differentially expressed genes (DEGs) from highly similar studies...